Statistical Learning on Sparse Matrices

Documentation for package ‘rsparse’ version 0.3.3.2

%*%-method	Multithreaded Sparse-Dense Matrix Multiplication
ap_k	Ranking Metrics for Top-K Items
crossprod-method	Multithreaded Sparse-Dense Matrix Multiplication
detect_number_omp_threads	Detects number of OpenMP threads in the system
FactorizationMachine	Creates FactorizationMachine model.
FTRL	Creates FTRL proximal logistic regression model.
GloVe	Creates Global Vectors matrix factorization model.
LinearFlow	Creates Linear-FLow model for one-class collaborative filtering
matmult	Multithreaded Sparse-Dense Matrix Multiplication
metrics	Ranking Metrics for Top-K Items
movielens100k	MovieLens 100K Dataset
ndcg_k	Ranking Metrics for Top-K Items
PureSVD	Soft-SVD decompomposition
slice	CSR Matrices Slicing
soft_impute	SoftImpute/SoftSVD matrix factorization
soft_svd	SoftImpute/SoftSVD matrix factorization
tcrossprod-method	Multithreaded Sparse-Dense Matrix Multiplication
WRMF	Weighted Regularized Matrix Facrtorization for collaborative filtering
[-method	CSR Matrices Slicing